CHISQ.DIST.RT

Calculates the right-tailed chi-squared distribution, which is commonly used in hypothesis testing.

Sample Usage

`CHISQ.DIST.RT(3.45, 2)`

`CHISQ.DIST.RT(A2, B2)`

Syntax

`CHISQ.DIST.RT(x, degrees_freedom)`

• `x` - The input to the chi-squared probability distribution function. The value at which to evaluate the function.

• Must be a positive number.

• `degrees_freedom` - The number of degrees of freedom of the distribution.

Notes

• `degrees_freedom` is truncated to an integer if a non-integer is provided.

• `degrees_freedom` must be at least `1` and may not exceed `10^10`.

• All arguments must be numeric.

• `CHISQ.DIST.RT` is synonymous with `CHIDIST`.

`CHIDIST`: Calculates the right-tailed chi-squared distribution, often used in hypothesis testing.

`CHIINV`: Calculates the inverse of the right-tailed chi-squared distribution.

`CHISQ.DIST`: Calculates the left-tailed chi-squared distribution, often used in hypothesis testing.

`CHITEST`: Returns the probability associated with a Pearson's chi-squared test on the two ranges of data. Determines the likelihood that the observed categorical data is drawn from an expected distribution.

Example

Suppose you want to test the fairness of a 6-sided die:

• From several rolls, you obtain a chi-squared statistic of `12.3`.

• The number of degrees of freedom is `6 - 1 = 5`.

• We will evaluate the chi-squared distribution with `5` degrees of freedom when x equals `12.3`.

A B C
1 x Degrees freedom Solution
2 12.3 5 0.03090046464
3 12.3 5 =CHISQ.DIST.RT(12.3, 5)
4 12.3 5 =CHISQ.DIST.RT(A2, B2)